4.6 Article

Holiday Travel Behaviour and Correlated CO2 Emissions-Modelling Trend and Future Scenarios for Austrian Tourists

期刊

SUSTAINABILITY
卷 11, 期 22, 页码 -

出版社

MDPI
DOI: 10.3390/su11226418

关键词

tourism; Austria; travel; emissions; agent-based model; greenhouse gases; transportation

资金

  1. Steiermarkische Sparkassen
  2. University of Graz, Austria
  3. University of Graz

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The footprint of tourism through travel is contributing significantly to the accumulation of human-made CO2. Due to different options in transportation, resulting emissions depend strongly on the choices of individuals on how to travel. In Austria, land travel is the main mode of transportation, though air travel has shown a significant increase during the last decades. We present a model to estimate past and future emission trends of land and air travel for domestic (inbound) and international (outbound) travel destinations. For this, we use a combination of two software models, a social-economic individual-based model to simulate the decision processes of holiday travel and an emission calculation model to estimate single travel-based CO2 emissions. Our model is supported by data (reference year 2016) on tourism demand, holiday destinations, household wealth and emissions of different transportation modes. Our model evaluation successfully reproduced historical data of travel demand in the period 2003-2019 and explores several future trends of (a) business-as-usual, (b) green transition and (c) aviation preference increase. We calculated a current CO2 footprint of 5.8 million tonnes in 2019, which could increase to 7.3 million tonnes by 2030 if the current trend continues. A necessary decrease of transportation emissions is only possible when reducing air travel. In case of a green transition towards more land travel, total emissions could be kept constant compared to current emission levels. However, an overall reduction of holiday travel related CO2 below 3.5 million tonnes has not been observed even under the best circumstances due to projected increases in the total population and increases in wealth.

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